{"id":"W2946715935","doi":"10.65109/csjp7552","title":"Optimal Risk in Multiagent Blind Tournaments","year":2019,"lang":"en","type":"article","venue":"","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Tournament; Tournament selection; Outcome (game theory); Computer science; Range (aeronautics); Mathematical optimization; Artificial intelligence; Operations research; Selection (genetic algorithm); Mathematics; Mathematical economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004581321,0.001390143,0.002135623,0.0009097786,0.0008651043,0.002163523,0.001753731,0.001512657,0.002015432],"category_scores_gemma":[0.02154335,0.000834887,0.001053597,0.0004901934,0.002173384,0.002310744,0.001698768,0.001860176,0.0002984406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946188,"about_ca_system_score_gemma":0.001153053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004814678,"about_ca_topic_score_gemma":0.00270712,"domain_scores_codex":[0.9969875,0.001416703,0.0001378794,0.0005711853,0.0004042754,0.0004824634],"domain_scores_gemma":[0.9912062,0.005603389,0.001294152,0.0005713142,0.000541968,0.0007829365],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002370861,0.00008527867,0.003795525,0.0000436588,0.00007952478,0.0001265212,0.0001987938,0.9533761,0.0009643973,0.0241858,0.0006613242,0.01624601],"study_design_scores_gemma":[0.00002816941,0.00006044656,0.0004319983,0.000006892185,0.00001168889,0.00002427929,0.00002548112,0.9808556,0.000168429,0.01815827,0.0002161601,0.00001248131],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2920534,0.0006773372,0.7014413,0.0005379044,0.00007586629,0.0001648781,0.0001093519,0.000567737,0.00437216],"genre_scores_gemma":[0.9614597,0.0001318806,0.03578604,0.0001501271,0.00003403867,0.0001117666,0.00009214892,0.00006713208,0.002167301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004814678,"threshold_uncertainty_score":0.02422863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08874053083871841,"score_gpt":0.4091136655080394,"score_spread":0.320373134669321,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}